code: def test_combine_first(self):
      pdf1 = pd.DataFrame({"A": [None, 0], "B": [4, None]})
      psdf1 = ps.from_pandas(pdf1)
  
      self.assertRaises(
          TypeError, lambda: psdf1.combine_first(ps.Series([1, 2]))
      )
  
      pser1 = pd.Series({"falcon": 330.0, "eagle": 160.0})
      pser2 = pd.Series({"falcon": 345.0, "eagle": 200.0, "duck": 30.0})
      psser1 = ps.from_pandas(pser1)
      psser2 = ps.from_pandas(pser2)
      with self.assertRaisesRegex(
          ValueError, "Cannot combine the series or dataframe"
      ):
          psser1.combine_first(psser2)
  
      pdf1 = pd.DataFrame({"A": [None, 0], "B": [4, None]})
      psdf1 = ps.from_pandas(pdf1)
      pdf2 = pd.DataFrame({"C": [3, 3], "B": [1, 1]})
      psdf2 = ps.from_pandas(pdf2)
      with self.assertRaisesRegex(
          ValueError, "Cannot combine the series or dataframe"
      ):
          psdf1.combine_first(psdf2)
  
imports: import pandas
  import numpy
  from pyspark import pandas
  from pyspark.pandas.config import set_option, reset_option
  from pyspark.testing.pandasutils import PandasOnSparkTestCase
  from pyspark.testing.sqlutils import SQLTestUtils
label_desc: Use image node_id 18 for calling the DiffFramesErrorMixin obj's underlying member method code with example usage: obj.test_combine_first() without return types